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Senior Data Engineer, BI Developer
DAWAR CONSULTING INC. Develop and maintain data pipelines, data lakes, ETL processes, and data integration workflows .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in Data Engineering and Data Warehousing, with a strong focus on developing data pipelines, ETL processes, and analytics solutions using tools like Databricks, Python, SQL, Tableau, and Amazon QuickSight.
Highest-signal resume keywords
Data EngineeringDatabricksETL DevelopmentPostgreSQLAmazon QuickSight
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentETL ProcessesData Integration WorkflowsPythonSQLTableauAmazon QuickSightStarburstPostgreSQLOracle Database
Tools & Technologies
DatabricksAWS RDSTableauAmazon QuickSightStarburst
Industry Keywords
Data WarehousingAnalyticsData GovernanceData QualityPerformance Tuning
Tech Stack
Tools & technologiesAWSETLOraclePostgresPythonSQLTableau
About the role
Key responsibilities & impact- Develop and maintain data pipelines, data lakes, ETL processes, and data integration workflows
- Use Databricks, Python, and SQL to transform and optimize data
- Build dashboards, reports, scorecards, and KPIs using Amazon QuickSight and Tableau
- Work with PostgreSQL, Oracle, AWS RDS, and Starburst databases
- Ensure data quality, performance, security, and governance
Requirements
What you’ll need- 8+ years of experience in Data Engineering, Data Warehousing, Analytics, and BI Development
- Strong expertise in Databricks and Data Lake architectures
- Strong expertise in Starburst
- Strong expertise in PostgreSQL
- Strong expertise in Oracle Database
- Strong expertise in AWS RDS
- Strong expertise in Python
- Strong expertise in SQL
- Strong expertise in Tableau
- Strong expertise in Amazon QuickSight
- Strong expertise in ETL development and data integration
- Experience designing and delivering enterprise-scale data products and analytics solutions
- Strong knowledge of data modeling, performance tuning, data governance, and best practices
- Knowledge of AI and machine learning concepts is a plus
Benefits
Comp & perks- Medical insurance
- Dental insurance
- Vision insurance
- Paid sick leave
- 401K